RRepoGEO

REPOGEO REPORT · LITE

Makisuo/maple

Default branch main · commit bac45277 · scanned 6/9/2026, 12:02:10 PM

GitHub: 1,227 stars · 73 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Makisuo/maple, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 to specify category and purpose

    Why:

    CURRENT
    # Maple Monorepo
    COPY-PASTE FIX
    # Maple: Open-source observability for traces, logs & metrics — built on OpenTelemetry + ClickHouse.
  • hightopics#2
    Add comprehensive topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    observability, opentelemetry, traces, logs, metrics, clickhouse, apm, monitoring, full-stack, distributed-tracing, log-management, metric-monitoring
  • mediumlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## License

Maple is licensed under [Your Specific License Name(s)]. Please refer to the LICENSE file for complete details.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface Makisuo/maple
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
grafana/grafana
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. grafana/grafana · recommended 2×
  2. grafana/loki · recommended 2×
  3. grafana/tempo · recommended 2×
  4. prometheus/prometheus · recommended 2×
  5. SigNoz/signoz · recommended 2×
  • CATEGORY QUERY
    What are the best open-source full-stack observability platforms supporting OpenTelemetry standards?
    you: not recommended
    AI recommended (in order):
    1. Grafana (grafana/grafana)
    2. Loki (grafana/loki)
    3. Tempo (grafana/tempo)
    4. Mimir (grafana/mimir)
    5. Prometheus (prometheus/prometheus)
    6. SigNoz (SigNoz/signoz)
    7. Jaeger (jaegertracing/jaeger)
    8. OpenObserve (openobserve/openobserve)
    9. Elasticsearch (elastic/elasticsearch)
    10. Kibana (elastic/kibana)
    11. Logstash (elastic/logstash)
    12. Beats (elastic/beats)
    13. Elastic APM Server (elastic/apm-server)

    AI recommended 13 alternatives but never named Makisuo/maple. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I set up a self-hosted platform to monitor application performance with traces, logs, and metrics?
    you: not recommended
    AI recommended (in order):
    1. Grafana (grafana/grafana)
    2. Prometheus (prometheus/prometheus)
    3. Loki (grafana/loki)
    4. Tempo (grafana/tempo)
    5. OpenTelemetry (open-telemetry/opentelemetry-specification)
    6. Elasticsearch (elastic/elasticsearch)
    7. Kibana (elastic/kibana)
    8. Logstash (elastic/logstash)
    9. Beats (elastic/beats)
    10. Jaeger (jaegertracing/jaeger)
    11. SigNoz (SigNoz/signoz)
    12. New Relic
    13. Dynatrace

    AI recommended 13 alternatives but never named Makisuo/maple. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of Makisuo/maple?
    pass
    AI named Makisuo/maple explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts Makisuo/maple in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Makisuo/maple explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo Makisuo/maple solve, and who is the primary audience?
    pass
    AI named Makisuo/maple explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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Makisuo/maple — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite